Is there a concept of minimum data required for Bayesian updating?

09 September 2015 0 7K Report

After a certain amount of data is used for updating, the information gain is not significant.

Badges
Science topic

Similar topics
Moths
Data

More Sharvil Alex Faroz's questions See All

I have a text file of point cloud data, what transformation is to be applied to the coordinates to change the general orientation of the data?

The point cloud forms a surface, with each point having its co-ordinates in the form of the text file. The general surface is inclined wrt a plane, what transformation is to be applied to modify...

04 May 2015 5,081 3 View

Is there a technique to easily sample from multivariate probability distribution for MCMC applications?

For my Matlab code, as soon as the number of random variables becomes 3, acceptance rate of MCMC using metropolis-hasting algorithm drops to less than 1%.

09 October 2014 4,309 5 View

Is there a non-destructive technique to evaluate the loss in steel rebar due to corrosion in RC structures?

The technique should give the loss of steel occurred over the years before the technique is applied.

08 September 2014 718 7 View

How to compare two groups with only two measurements?

Hiiiii everyone! I have an enquiry on statistical analysis. I was looking for many forum and it's still cannot solve my problem. I want to compare means of two groups of data but only with two...

03 March 2021 8,796 3 View

What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10?

What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10? Since, the growth curve from day 2 to 10 won't be like the "Logistic curve" it might not follow logistic...

03 March 2021 1,401 3 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

1. What is the impact of having different scales in a survey? and how can we solve this problem before and after data collection (Literature)?

1. What is the impact of having different scales in a survey? and how can we solve this problem before and after data collection (Literature-based reflection)? Thank you for your time and for...

03 March 2021 2,870 3 View

What degree of missing data in a particular case/participant results in Expectation-Maximisation no longer working?

I'm dealing with a mediation model and am using the PROCESS module in SPSS. Due to SPSS and PROCESS being limited in the imputation methods - being unable to handle multiple imputation - the other...

02 March 2021 4,362 1 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

01 March 2021 1,189 3 View

Does anyone know how to plot my station to a section plot on Ocean Data View (ODV)?

I made a vertical section plot with WOA .nc file on ODV, and now I want to plot my stations (csv. file) in it. Does anyone know how to import my points to the section? They are two different...

01 March 2021 3,610 1 View

How to address this issue in the analysis of Real-Time PCR results?

To dear Researchers, I was analyzing a series of concentration for estimation of Real-Time PCR efficiency. The concentration was 1:10. I used MS-excel to evaluate Slope. The result of slope was -8...

01 March 2021 8,683 4 View

How to arrange coordinates and extract climate dataset out of MPI-ESM-MR netcdf files?

Have a nice day everyone, I'm stuck in extracting datasets out of MPI-ESM-MR netcdf files because the latitude ranges from -3*10^6 to 3*10^6 and longitude ranges -5,9*10^6 to 5,9*10^6. Plus, the...

28 February 2021 912 3 View

Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

For instance, the model is trained with A,B,C,D,E features to predict F target. Then, I want to make prediction on a new data, but with only A,C,D,E is known without doing missing value imputation...

28 February 2021 1,556 6 View